code: def __init__(self, x, name=None):
      super(FakeModule, self).__init__(name)
      self.x = tensor_util.convert_nonref_to_tensor(x)
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.util import deferred_tensor
label_desc: Use image node_id 1 to create a new FakeModule object from inherited base classes: tf with example: obj = FakeModule(x, name)